One stop solutions for all things optimization
Author JuliaSmoothOptimizers
10 Stars
Updated Last
1 Year Ago
Started In
July 2019


docs-stable docs-dev build-ci codecov release

One stop solutions for all things optimization.

How to Cite

If you use JSOSuite.jl in your work, please cite using the format given in CITATION.cff.


] add JSOSuite


using JSOSuite

# Rosenbrock
x0 = [-1.2; 1.0]
f = x -> 100 * (x[2] - x[1]^2)^2 + (x[1] - 1)^2
stats = solve(f, x0)

# Constrained problem
c = x -> [x[1] * x[2] - 1]
stats = solve(f, x0, c, [0.0], [0.0])

# Constrained problem in Float32
stats = solve(f, Float32.(x0), c, Float32[0.0], Float32[0.0])

Bug reports and discussions

If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.

If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers, so questions about any of our packages are welcome.